Using multilingual lexical resources to improve lexical simplification

Patent metadata

Field	Value
Publication number	US-10318633-B2
Application number	US-201715396709-A
Country	US
Kind code	B2
Filing date	Jan 2, 2017
Priority date	Jan 2, 2017
Publication date	Jun 11, 2019
Grant date	Jun 11, 2019

Abstract

An approach is provided that receives a word that belongs to a first natural language and retrieves a first set of complexity data pertaining to the word in the first natural language. The approach translates the word to one or more translated words, with each of the translated words corresponding to one or more second natural languages. The approach then retrieves sets of complexity data, with the sets of complexity data corresponding to a different translated word. The approach determines a complexity of the word in the first natural language based on an analysis of the first and second sets of complexity data.

First claim

What is claimed is:

1. An information handling system comprising:
one or more processors;
a memory coupled to at least one of the processors; and
a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions comprising:
creating a multi-language word mapping by a multi-language word mapping generator executing on the information handling system, wherein the creating further comprises:
retrieving a word that belongs to a first natural language;
retrieving a first set of complexity data pertaining to the word in the first natural language, wherein the first set of complexity data comprises a first word length and a first word frequency;
translating the word to one or more translated words, wherein each of the translated words corresponds to one or more second natural languages;
retrieving one or more second sets of complexity data, wherein each of the second sets of complexity data correspond to a different one of the translated words, wherein the one or more second sets of complexity data comprises one or more second word lengths and one or more second word frequencies; and
computing a complexity of the word in the first natural language based on an overall word length and an overall word frequency, wherein the overall word length is based on the first word length and the one or more second word lengths, and wherein the overall word frequency is based on the first word frequency and the one or more second word frequencies; and
storing the computed complexity of the word in the multi-language word mapping; and

performing, by the information handling system, lexical simplification on the document that comprises replacing the word in a document with one of the one or more translated words based on the computed complexity of the word stored in the multi-language word mapping.

2. The information handling system of claim 1 wherein the first set of complexity data includes a first word n-gram of the word in the first natural language, wherein the second sets of complexity data includes one or more second word n-grams of the word in each of the second natural languages, and wherein the actions further comprise:
determining an overall word n-gram based on the first word n-gram and the second one or more word n-grams, wherein the complexity of the word is based on the overall word n-gram.

3. The information handling system of claim 1 wherein the first set of complexity data includes a first word encyclopedia entry of the word in the first natural language, wherein the second sets of complexity data includes one or more second encyclopedia entries of the word in each of the second natural languages, and wherein the actions further comprise:
determining an overall word n-gram based on the first word encyclopedia entry and the second one or more encyclopedia entries, wherein the complexity of the word is based on the overall word n-gram.

4. The information handling system of claim 1 wherein the complexity of the word is based on an average length of characters of the word and the translated words in each of the first and second natural languages, a total number of translated words, a frequency of the word in the first natural language, a sum of the normalized frequencies of the one or more translated words in the second natural languages, an existence of an encyclopedia entry of the word, a number of encyclopedia entries of the translated words in the second natural languages, and a vector value of possible character n-grams in the second natural languages collectively.

5. The information handling system of claim 1 wherein the translated words include synonyms of the translated words in the second natural languages.

6. A computer program product stored in a non-transitory computer readable storage medium, comprising computer program code that, when executed by an information handling system, performs actions comprising:
creating a multi-language word mapping by a multi-language word mapping generator executing on the information handling system, wherein the creating further comprises:
retrieving a word that belongs to a first natural language;
retrieving a first set of complexity data pertaining to the word in the first natural language, wherein the first set of complexity data comprises a first word length and a first word frequency;
translating the word to one or more translated words, wherein each of the translated words corresponds to one or more second natural languages;
retrieving one or more second sets of complexity data, wherein each of the second sets of complexity data correspond to a different one of the translated words, wherein the one or more second sets of complexity data comprises one or more second word lengths and one or more second word frequencies; and
computing a complexity of the word in the first natural language based on an overall word length and an overall word frequency, wherein the overall word length is based on the first word length and the one or more second word lengths, and wherein the overall word frequency is based on the first word frequency and the one or more second word frequencies; and
storing the computed complexity of the word in the multi-language word mapping; and

performing, by the information handling system, lexical simplification on the document that comprises replacing the word in a document with one of the one or more translated words based on the computed complexity of the word stored in the multi-language word mapping.

7. The computer program product of claim 6 wherein the first set of complexity data includes a first word n-gram of the word in the first natural language, wherein the second sets of complexity data includes one or more second word n-grams of the word in each of the second natural languages, and wherein the actions further comprise:
determining an overall word n-gram based on the first word n-gram and the second one or more word n-grams, wherein the complexity of the word is based on the overall word n-gram.

8. The computer program product of claim 6 wherein the first set of complexity data includes a first word encyclopedia entry of the word in the first natural language, wherein the second sets of complexity data includes one or more second encyclopedia entries of the word in each of the second natural languages, and wherein the actions further comprise:
determining an overall word n-gram based on the first word encyclopedia entry and the second one or more encyclopedia entries, wherein the complexity of the word is based on the overall word n-gram.

9. The computer program product of claim 6 wherein the complexity of the word is based on an average length of characters of the word and the translated words in each of the first and second natural languages, a total number of translated words, a frequency of the word in the first natural language, a sum of the normalized frequencies of the one or more translated words in the second natural languages, an existence of an encyclopedia entry of the word, a number of encyclopedia entries of the translated words in the second natural languages, and a vector value of possible character n-grams in the second natural languages collectively.

Assignees

• IBM

Inventors

• Dandala Bharath
• Sinha Ravi S

Classifications

• G06F40/58

  Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation · CPC title

• G06F40/30

  Semantic analysis · CPC title

• G06F40/284 Primary

  Lexical analysis, e.g. tokenisation or collocates · CPC title

• G06F16/3329 Primary

  Natural language query formulation · CPC title

• G06F17/277 Primary

  Physics · mapped topic